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Fuzzy Connectedness in Segmentation of Medical Images - A Look at the Pros and Cons.

, , , , and . IJCCI (ECTA-FCTA), page 486-492. SciTePress, (2011)

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Open architecture computer-aided diagnosis system., , , and . Expert Systems, 27 (1): 17-39 (2010)Swarm Intelligence Approach to 3D Medical Image Segmentation., and . ITIB (1), volume 471 of Advances in Intelligent Systems and Computing, page 15-24. Springer, (2016)Quantitative Validation of Gait and Swing Angles Determination from Inertial Signals., , , , , , , and . ITIB (2), volume 472 of Advances in Intelligent Systems and Computing, page 63-74. Springer, (2016)Virtual bacterium colony in 3D image segmentation.. Comp. Med. Imag. and Graph., (2018)Fuzzy Connectedness in Segmentation of Medical Images - A Look at the Pros and Cons., , , , and . IJCCI (ECTA-FCTA), page 486-492. SciTePress, (2011)Accelerometric signals in automatic balance assessment.. Comp. Med. Imag. and Graph., (2015)Attribute-Based Assessment of Lung Nodules in CT Using Support Vector Machine and Random Forest., and . ITIB, volume 762 of Advances in Intelligent Systems and Computing, page 279-289. Springer, (2018)Calibrating level set approach by granular computing in computed tomography abdominal organs segmentation., and . Appl. Soft Comput., (2016)Soft computing approach to 3D lung nodule segmentation in CT., and . Comp. in Bio. and Med., (2014)Semi-automatic Seed Points Selection in Fuzzy Connectedness Approach to Image Segmentation., and . Computer Recognition Systems 2, volume 45 of Advances in Soft Computing, Springer, (2008)